It’s fascinating how innovations in one field can spur innovations in another domain. Space exploration innovations, for example, have had a significant impact on windsurfing. In general, technology innovations have enhanced and helped reinvent many sectors.
The defense vertical has been a strong driver of development and innovation for the supply chain and operational research sector.
The defense supply chain grows ever more complex in today’s financially constrained environment. Rapid technology innovation and changing requirements of global forces are leading drivers. Condition-based maintenance is an impactful influence that is becoming a standard requirement within the industry.
For effective condition-based maintenance, the availability of the service parts is paramount.
The current trend, adopted by military organizations and governments, is to concentrate the responsibility of material availability to external 3rd parties, generally the equipment manufacturers. These organizations no longer focus on service parts or maintenance operations but principally concentrate on the availability of equipment for the warfighter. For technology to deliver maximum equipment availability, it must be highly capable and flexible. Offering classical sub-objectives, such as parts availability, forecast accuracy, and inventory turns, is status quo.
Optimizing a complex service supply chain to maximize equipment availability requires numerous technology innovations, including Multi-Echelon Optimization (MEO), Multi-Indentured Multi-Echelon (MIME), and advanced data science, including AI/ML/Big Data/IoT. Let’s explore why these capabilities are crucial.
Best-in-class organizations capable of executing performance-based logistics contracts and condition-based maintenance do so with cutting-edge technology. The outcome is well worth the investment with double-digit improvements to their overall equipment availability. Optimization is a never-ending process of adjusting to tradeoffs and adapting to new data and mission requirements. True inventory optimization simultaneously models every part at every location in one run and can guarantee the organization's lowest inventory investment. Organizations leveraging artificial intelligence and machine learning have a distinct advantage. AI/ML has demonstrated the capacity to learn and refine models. Further, simulation capabilities are an excellent method of proving AI/ML results to ensure tangible benefit.
It is a complex and challenging environment, but defense organizations must maximize their investments while ensuring readiness and equipment availability. Servigistics delivers these capabilities and is the undisputed industry leader delivering maximum equipment availability, readiness, and operational excellence.
We have seen impressive innovations for decades accelerating over the last few years. Considering the requirements of states to reduce their defense investments, there is no doubt that defense forces will have to be strategic. Optimization is imperative to successful allocation of investments in such a challenging and complex environment.
Connected SLM and SKM Presales Engineer, PTC
With 20 years of experience in supply chain management, I visited countless accounts to deliver either consulting or services.
I developed a detailed knowledge of new technologies and the business value that they deliver.
My passion for aftermarket supply chains and the particular challenges that they entail has led me to gain expertise in subjects such as: